For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
Social media company X has taken an uncommon step in an industry known for secrecy by publicly releasing the source code ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
It has been a defining week for Elon Musk’s “everything app,” but perhaps not the one he intended. On Tuesday, January 20, X ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
A consortium led by Awais Ahmed’s Pixxel signs an agreement with IN-SPACe to build India’s national earth observation ...
Even as they’re pushing the boundaries of research and discovery with AI, UC scientists are asking the right questions about ...
Goyal founded BoldCharter, a platform that ingests market data in real-time, looking through exchange dynamics and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback